NVIDIA
Power Architect - New College Grad 2027
$124K–$242K
US, CA, Santa Clara +1 · Full-time · Posted Oct 20, 2026
- Location
- US, CA, Santa Clara
US, TX, Austin - Education
- Pursuing or recently completed an MS or PhD in Electrical or Computer Engineering (or equivalent experience).
About the job
Architect GPU power features and system-level power management, and develop energy-efficiency solutions and machine-learning-based power and performance models for NVIDIA products.
What you'll do
- Design GPU power features and system-level power management solutions.
- Collaborate with architecture, software, ASIC design, and product teams on GPU power-management strategy.
- Develop energy-efficiency solutions and use machine learning to model GPU and platform power and performance.
What they ask for
- Pursuing or recently completed an MS or PhD in Electrical or Computer Engineering, or equivalent experience.
- Knowledge of performance simulators/monitors and low-power architectures/techniques.
- Working knowledge of Python and frameworks/packages such as TensorFlow, Pandas, NumPy, and PyTorch.
- Experience with lab setup and measurement using equipment such as scope/DAQ.
Nice to have
- Master’s degree or internship focused on low-power architecture, power modeling, and deep learning.
- Exposure to Design Compiler, PTPX, and Power Artist.
Pay
124,000 USD - 195,500 USD (base salary) for Level 2; 152,000 USD - 241,500 USD (base salary) for Level 3
Tools
Python, TensorFlow, Pandas, NumPy, PyTorch, Design Compiler, PTPX, Power Artist
AI focus
Use machine-learning techniques to develop power and performance models for GPUs and platforms; address GPU use cases including deep learning training.
Model-written summary · the original posting is authoritative